Dataconomy

DECEMBER 17, 2024

Conversely, clear, well-documented requirements set the foundation for a project that meets objectives, aligns with stakeholder expectations, and delivers measurable value. This blog post explores effective strategies for gathering requirements in your data project. Document and share meeting outcomes to ensure alignment.

Data Quality 91

Data Quality Power BI Data Engineering Data Engineer 91

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

Data Profiling 52

Data Profiling Data Quality Data Governance Data Pipeline 52

The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. Check out the Kubeflow documentation. For example, neptune.ai

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Machine Learning Machine Learning ML ML 134

Dataconomy

JULY 28, 2023

Data preprocessing is essential for preparing textual data obtained from sources like Twitter for sentiment classification ( Image Credit ) Influence of data preprocessing on text classification Text classification is a significant research area that involves assigning natural language text documents to predefined categories.

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Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

OCTOBER 11, 2023

It is the practice of monitoring, tracking, and ensuring data quality, reliability, and performance as it moves through an organization’s data pipelines and systems. While they provide various data-related tools, they may also offer features related to Data Observability within their platform.

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Data Observability Data Quality Data Pipeline Data Governance 52

Alation

MAY 24, 2022

Prime examples of this in the data catalog include: Trust Flags — Allow the data community to endorse, warn, and deprecate data to signal whether data can or can’t be used. Data Profiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape.

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Data Quality Data Governance ETL Data Observability 98

Alation

SEPTEMBER 7, 2021

In addition, Alation provides a quick preview and sample of the data to help data scientists and analysts with greater data quality insights. Alation’s deep data profiling helps data scientists and analysts get important data profiling insights. Operationalize data governance at scale.

Data Governance 59

Data Governance Data Scientist Data Quality Data Profiling 59